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Power grid operation optimization and forecasting using a combined forecasting system

Author

Listed:
  • Lifang Zhang
  • Jianzhou Wang
  • Zhenkun Liu

Abstract

Reliable photovoltaic and wind power generation forecasts are essential for efficient power systems operations. A combined forecasting system is developed, which integrates a data preprocessing method, a sub‐predictor selection rule, and a multi‐objective optimization to integrate various forecasting models. The proposed system effectively aggregates the advantages of all algorithms involved, facilitating greater prediction precision and stability. Experiments indicated that the proposed system can achieve higher quality point and interval forecasting performance relative to the comparative approaches.

Suggested Citation

  • Lifang Zhang & Jianzhou Wang & Zhenkun Liu, 2023. "Power grid operation optimization and forecasting using a combined forecasting system," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 124-153, January.
    • Handle: RePEc:wly:jforec:v:42:y:2023:i:1:p:124-153
    DOI: 10.1002/for.2888
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